FYLD

Data management for large language models (LLMs) used in enterprise AI, eliminating the "dirty data problem" that plagues machine learning

Series A · $30M · 2023-10

Inference infrastructure based on open-source vLLM, helping enterprises run large models more efficiently and at lower cost

Seed · $150M · 2026-01 · Valuation $800M

Developer tools and open-source infrastructure for building, deploying and connecting AI agents within applications

Series A · $27M · 2026-05

Long-term memory infrastructure for large models (intrinsic memory module + Agentic RL)

Seed · 2026-08

Hybrid infrastructure combining on-premises and cloud environments to reduce GPU costs

Series A · $12M · 2024-10

Infrastructure that lowers LLM inference costs for enterprises

Seed · $11M · 2025-11